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I agree with the parent comment. The quality of output images from MJ v5 is vastly better than anything I’ve been able to get out of SD regardless of which tuning model I’ve tried. SD’s underlying model on top of which everything is built just isn’t that good.


very different initial approaches to training dataset curation, to SD's detriment.


Can you be more explicit about what you mean? Also, the biggest difference is probably just the fact that MJ is using a much larger model than SD.




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